Wenxuan Zhu

According to our database, Wenxuan Zhu authored at least 25 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures.

Yang Wang, Wenxuan Zhu, Xuehui Quan, Heyi Wang, Chang Liu, Qiyuan Wu

CoRR, May, 2025

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems.

Wenxuan Zhu, Qiyuan Wu, Tengda Tang, Renzi Meng, Sheng Chai, Xuehui Quan

CoRR, May, 2025

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks.

Lu Dai, Wenxuan Zhu, Xuehui Quan, Renzi Meng, Sheng Chai, Yichen Wang

CoRR, May, 2025

Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation.

Nan Jiang, Wenxuan Zhu, Xu Han, Weiqiang Huang, Yumeng Sun

CoRR, May, 2025

Can Video Diffusion Model Reconstruct 4D Geometry?

Jinjie Mai, Wenxuan Zhu, Haozhe Liu, Bing Li, Cheng Zheng, Jürgen Schmidhuber, Bernard Ghanem

CoRR, March, 2025

4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding.

Wenxuan Zhu, Bing Li, Cheng Zheng, Jinjie Mai, Jun Chen, Letian Jiang, Abdullah Hamdi, Sara Rojas, Chia-Wen Lin, Mohamed Elhoseiny, Bernard Ghanem

CoRR, March, 2025

Physical Adversarial Patch Attack for Optical Fine-Grained Aircraft Recognition.

Ke Li, Di Wang, Wenxuan Zhu, Shaofeng Li, Quan Wang, Xinbo Gao

IEEE Trans. Inf. Forensics Secur., 2025

2024

GR-GAN: A unified adversarial framework for single image glare removal and denoising.

Cong Niu, Ke Li, Di Wang, Wenxuan Zhu, Haojie Xu, Jinhui Dong

Pattern Recognit., 2024

DiagSWin: A multi-scale vision transformer with diagonal-shaped windows for object detection and segmentation.

Ke Li, Di Wang, Gang Liu, Wenxuan Zhu, Haodi Zhong, Quan Wang

Neural Networks, 2024

A fragmentation-aware redundancy elimination scheme for inline backup systems.

Yucheng Zhang, Wenxuan Zhu, Dan Feng, Wei Huang, Nan Jiang, Meng Chen, Renxin Xia

Future Gener. Comput. Syst., 2024

Vivid-ZOO: Multi-View Video Generation with Diffusion Model.

Bing Li, Cheng Zheng, Wenxuan Zhu, Jinjie Mai, Biao Zhang, Peter Wonka, Bernard Ghanem

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models.

Shiyu Xia, Wenxuan Zhu, Xu Yang, Xin Geng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Transferable Physical Adversarial Patch Attack for Remote Sensing Object Detection.

Di Wang, Wenxuan Zhu, Ke Li, Xiao Gao, Pengfei Yang

Proceedings of the IGARSS 2024, 2024

TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks.

Jinjie Mai, Wenxuan Zhu, Sara Rojas, Jesus Zarzar, Abdullah Hamdi, Guocheng Qian, Bing Li, Silvio Giancola, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2024, 2024

Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection.

Ke Li, Di Wang, Zhangyuan Hu, Wenxuan Zhu, Shaofeng Li, Quan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Recent Study Advances in Flexible Sensors Based on Polyimides.

Tianyong Zhang, Yamei Chai, Suisui Wang, Jianing Yu, Shuang Jiang, Wenxuan Zhu, Zihao Fang, Bin Li

Sensors, December, 2023

G-SAM: A Robust One-Shot Keypoint Detection Framework for PnP Based Robot Pose Estimation.

Xiaopin Zhong, Wenxuan Zhu, Weixiang Liu, Jianye Yi, Chengxiang Liu, Zongze Wu

J. Intell. Robotic Syst., October, 2023

Edge-aware Plug-and-play Scheme for Semantic Segmentation.

Jianye Yi, Xiaopin Zhong, Weixiang Liu, Wenxuan Zhu, Zongze Wu, Yuanlong Deng

CoRR, 2023

Causal Deep Reinforcement Learning Using Observational Data.

Wenxuan Zhu, Chao Yu, Qiang Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems.

Yaqing Hou, Mingyang Sun, Wenxuan Zhu, Yifeng Zeng, Haiyin Piao, Xuefeng Chen, Qiang Zhang

IEEE Trans. Emerg. Top. Comput. Intell., 2022

2021

Pheromone Based Independent Reinforcement Learning for Multiagent Navigation.

Kaige Zhang, Yaqing Hou, Hua Yu, Wenxuan Zhu, Liang Feng, Qiang Zhang

Proceedings of the Neural Computing for Advanced Applications, 2021

2020

A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling.

Wenxuan Zhu, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Interactive RL via Online Human Demonstrations.

Chao Yu, Tianpei Yang, Wenxuan Zhu, Yinzhao Dong, Guangliang Li

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2018

Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning.

Chao Yu, Tianpei Yang, Wenxuan Zhu, Dongxu Wang, Guangliang Li

CoRR, 2018

Adaptively Shaping Reinforcement Learning Agents via Human Reward.

Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge, Jiankang Ren

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018